Transformer-TTS: Neural Speech Synthesis with Transformer Network閱讀筆記
5. Transformer-TTS: Neural Speech Synthesis with Transformer Network 文章於2019年1月發表 Transformer-TTS可以看做Tacotron2+transformer的組合，作者認爲優點主要爲： 通過移除RNN結構實現並行訓練，因爲解碼器的輸入序列的幀可以並行地提供。 第二種是self-attention可以將整個序列的
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相關文章
- 1. 《Video Action Transformer Network》閱讀筆記（附Transformer的筆記內容）
- 2. 論文《Chinese Poetry Generation with Recurrent Neural Network》閱讀筆記
- 3. 【論文閱讀筆記】Deep Neural Network Compression with Single and Multiple Level Quantization
- 4. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification 論文閱讀筆記
- 5. 論文閱讀筆記（一）——Deep Convolutional Neural Network with Independent
- 6. 【論文閱讀筆記】Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
- 7. 《Reasoning about Entailment with Neural Attention》閱讀筆記
- 8. Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody
- 9. 論文閱讀：Spatial Transformer Network
- 10. 閱讀筆記 CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network